Most AI initiatives fail to deliver results, but chemical companies are finding success by learning what really works.

Your project is on schedule, until legal reviews take way longer than anticipated. You find out—too late—this exact situation happened with another a project a few years ago. Sound familiar?

Recently I undertook a project to design and validate agentic AI architectures capable of operating autonomously across various public cloud providers. It served as a dry run to ensure I could create ...

With the ease of availability and access of AI tools and technology, people are putting AI into a wide range of products and services, and even in applications where AI is a dubious fit, at best. Many ...

Companies hate to admit it, but the road to production-level AI deployment is littered with proof of concepts (PoCs) that go nowhere, or failed projects that never deliver on their goals. In certain ...

As an AI keynote speaker, I’ve learned that the organizations leading with AI aren’t waiting for the perfect strategy — they’re taking action, testing and adapting at an accelerated pace. The future ...